Generative AI

2 weeks ago

Chennai, Tamil Nadu, India Cognizant Technology Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary

As a Sr. Developer you will be instrumental in advancing our machine learning capabilities leveraging AWS Machine Learning and AI&ML concepts. You will work in a hybrid model focusing on developing and deploying scalable solutions using Docker and Kubernetes. Your contributions will drive innovation and enhance our technological impact on society.

Responsibilities

  • Develop and implement machine learning models using AWS Machine Learning to enhance product offerings and drive business growth.
  • Collaborate with cross-functional teams to integrate AI&ML concepts into existing systems ensuring seamless functionality and improved performance.
  • Utilize Docker and Kubernetes for containerization and orchestration ensuring efficient deployment and scalability of applications.
  • Apply expertise in Amazon Sagemaker to streamline the machine learning workflow from data preparation to model deployment.
  • Oversee the use of Terraform for infrastructure as code ensuring reliable and repeatable deployments across environments.
  • Manage version control using GIT maintaining code integrity and facilitating collaborative development efforts.
  • Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning and innovation.
  • Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability in real-world applications.
  • Implement best practices in ML Ops to automate and optimize machine learning processes enhancing productivity and reducing manual intervention.
  • Collaborate with stakeholders to understand business needs and translate them into technical requirements driving strategic initiatives.
  • Stay updated with the latest advancements in artificial intelligence and machine learning applying new techniques to improve existing systems.
  • Ensure compliance with industry standards and regulations maintaining the highest level of data security and privacy.
  • Contribute to the companys mission by developing solutions that have a positive impact on society improving efficiency and accessibility. Qualifications
  • Possess a strong background in ML Ops and AWS Machine Learning with proven experience in deploying scalable solutions.
  • Demonstrate proficiency in Docker and Kubernetes with a solid understanding of containerization and orchestration.
  • Have hands-on experience with Amazon Sagemaker capable of managing the entire machine learning lifecycle.
  • Show expertise in Terraform for infrastructure management ensuring reliable and efficient deployments.
  • Be skilled in using GIT for version control maintaining code quality and facilitating collaborative development.
  • Exhibit a deep understanding of AI&ML concepts with the ability to apply them effectively in real-world scenarios.
  • Display strong problem-solving skills with the ability to translate complex technical requirements into actionable solutions.

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